Abstract:Different users, different servicing is an important commercial strategy. As VIP users are the main source of revenue, how to provide precise and personalized services for them becomes a hot spot for Mobile Social Network(MSN) providers. Effective pre-fetching of web-pages can improve Quality of Experience (QoE) for MSN users by reducing latency perceived from end-to-end. In this paper, we propose a novel user-aware dynamic Markov chain model to provide personalized pre-fetching for VIP users while guaranteein… Show more
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